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BENCH+ PROFILE

Roman

Technical Product Manager
Technical product ownership for API, data, automation, and AI-enabled B2B platforms

Technical Product Manager with lead-level experience connecting product discovery, backlog ownership, technical requirements, API/data delivery, automation initiatives, release planning, and stakeholder coordination across B2B SaaS, gaming platform, 3D content, advertising analytics, and support operations contexts.

BEST-FIT USE CASE

Best suited for a hybrid technical product role where discovery, requirements, roadmap and backlog ownership, API/data platform coordination, client-facing clarification, and delivery governance need to stay closely connected.

Not the primary fit: Less aligned with roles requiring primary ownership of production software engineering, deep model training, production MLOps, or dedicated infrastructure engineering as the core responsibility.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Led product backlog, prioritization, user story decomposition, acceptance criteria, delivery timelines, risks, blockers, and Scrum routines for a 3D asset processing and visualization context.

02

Initiated Python and Blender automation for a 3D asset processing pipeline and paired it with QA acceptance and handoff routines.

03

Co-founded and managed a B2B SaaS advertising analytics product from market research through launch and client operations, including AI analytics and recommendation functionality.

04

Worked on multi-tenant data processing, reporting, data quality, and client-readiness practices for a B2B analytics platform.

05

Acted as a contract technology leader to establish backlog, sprint boards, support queue, responsibility matrix, ticket standards, estimation, readiness criteria, delivery rhythm, and release cycle.

06

Coordinated multiple API platform delivery streams involving backend, DevOps, QA, and solutions engineering teams, with technical dependencies across matchmaking, authorization, analytics, and cloud storage.

07

Developed support operations, KPI tracking, dashboards, and feedback loops connecting user issues with product and development teams.

WORKING STYLE

How they show up

  • Explains current work in a structured way, including product context, business model, technical solution, role boundaries, and team interactions.
  • Works as a connector between clients, product stakeholders, and technical teams, translating requirements into delivery tasks.
  • Uses a combined individual and team approach, taking personal tasks end to end while coordinating broader cross-functional work.
  • Approaches AI-assisted coding with context-building, generated-code review, automated checks, and manual correction where needed.
  • Evaluates technical direction using business factors, team capability, technical requirements, ecosystem fit, maintainability, and vendor constraints.